United States Real Estate Market valued at USD 3.53 Trillion in 2025, growing at 2.80% CAGR to USD 4.65 Trillion by 2035. Get size, share and forecast.

US Real Estate Market Size & Growth 2025-2032: Valued at USD 3T in 2025, the market is projected to reach nearly USD 3.9T by 2032, growing at a CAGR of 4.12%. Get the latest industry forecast and analysis.

High-quality, free real estate dataset from all around the United States, in CSV format. Over 10.000 records relevant to Real Estate investors, agents, and data scientists. We are working on complete datasets from a wide variety of countries. Don't hesitate to contact us for more information.

The United States Residential Real Estate Market is Segmented by Property Type (Apartments and Condominiums, and Villas and Landed Houses), by Price Band (Affordable, Mid-Market and Luxury), by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), and by States (Texas, California, Florida, New York, Illinois and Rest of US). The Market Forecasts are Provided in Terms of Value (USD)

Discover the latest trends and insights into the booming US residential real estate market. This comprehensive analysis forecasts growth, examines key segments (apartments, condos, houses, villas), and identifies leading companies shaping the future of homeownership. Learn more about market size, CAGR, and regional variations. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

Redfin USA real estate data in CSV format

This dataset offers a curated from the Redfin USA real estate database, providing a glimpse into the extensive U.S. housing market. Each record includes essential real estate details such as property type, listing price, square footage, number of bedrooms, and bathrooms.

Key Features:

1. Diverse Property Types: The sample includes various types of properties such as single-family homes, condos, and townhouses, reflecting the diversity of the U.S. real estate market.
2. Key Market Metrics: Data points like listing price, square footage, and room counts are included, making it useful for basic real estate analysis.
3. Geographical Variety: The sample covers different cities and states, offering a broad perspective on regional real estate trends.

Use Cases:

1. Real Estate Analysis: Ideal for practicing data analysis techniques in the context of U.S. property markets.
2. Educational Purposes: Useful for demonstrations, tutorials, and teaching materials focused on real estate data.
3. Data Testing: Perfect for testing data-driven applications and models before scaling up to larger datasets.

Data points:

url, name, price, formatted_price, currency, address, locality, region, postal_code, country, latitude, longitude, description, baths, beds, sqft, property_details, images, listed_by, uniq_id, scraped_at

Get complete datasets with more than a million records from redfin usa Link

Download 250K+ real estate property listings from crawl feeds Dataset link

The US residential real estate market is projected for steady growth (2.04% CAGR) through 2033, driven by factors like population increase and evolving housing preferences. Discover key trends, market segmentation analysis, and leading companies shaping this dynamic sector. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

Discover the latest trends and insights into the booming US residential real estate market. Our comprehensive analysis reveals a steady CAGR of 2.04%, key drivers, market segmentation, and leading players. Learn about growth projections through 2033 and understand the opportunities and challenges shaping this dynamic sector. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Notable trends are: Existing Home Sales Witnessing Strong Growth.

Explore the Redfin USA Properties Dataset, available in CSV format. This extensive dataset provides valuable insights into the U.S. real estate market, including detailed property listings, prices, property types, and more across various states and cities. Perfect for those looking to conduct in-depth market analysis, real estate investment research, or financial forecasting.

Key Features:

• Comprehensive Property Data: Includes essential details such as listing prices, property types, square footage, and the number of bedrooms and bathrooms.
• Geographic Coverage: Encompasses a wide range of U.S. states and cities, providing a broad view of the national real estate market.
• Historical Trends: Analyze past market data to understand price movements, regional differences, and market trends over time.
• Geo-Location Details: Enables spatial analysis and mapping by including precise geographical coordinates of properties.

Who Can Benefit From This Dataset:

• Real Estate Investors: Identify lucrative opportunities by analyzing property values, market trends, and regional price variations.
• Market Analysts: Gain a deeper understanding of the U.S. housing market dynamics to inform research and reporting.
• Data Scientists and Researchers: Leverage detailed real estate data for modeling, urban studies, or economic analysis.
• Financial Analysts: Utilize the dataset for financial modeling, helping to predict market behavior and assess investment risks.

Download the Redfin USA Properties Dataset to access essential information on the U.S. housing market, ideal for professionals in real estate, finance, and data analytics. Unlock key insights to make informed decisions in a dynamic market environment.

Looking for deeper insights or a custom data pull from Redfin?
Send a request with just one click and explore detailed property listings, price trends, and housing data.
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BatchData is a premier data and technology solution helping businesses serving the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate, granular B2C contact and property data for US property owners. Our Property Search API is the engine behind leading PropTech applications, predictive modeling engines, and high-volume sales operations.

With over 300+ unique search filters, we enable developers and data scientists to build highly specific "buy-boxes" and marketing audiences. Whether you are searching for high-equity homes in specific zip codes or identifying commercial properties based on zoning and lot size, BatchData delivers the "ground truth" you need. Visit www.batchdata.io to explore our documentation and start building.

The Power of Granular Search Unlike standard APIs that offer broad, surface-level data, BatchData allows you to query the US real estate market with surgical precision. Our API accepts complex boolean logic, allowing you to layer demographic profiles, mortgage history, and physical building characteristics to surface the exact properties that match your ideal customer profile (ICP).

Key Search Capabilities & Data Attributes Our API response leverages a massive schema of over 124 data points per property. You can search, filter, and retrieve data across these core categories:

1. Distressed Property & Motivated Seller Signals (Quick Lists) Identify off-market opportunities before they hit the MLS. Our API provides pre-calculated flags for immediate actionable intelligence:

Vacancy & Abandonment: Filter by USPS vacancy flags or properties where the mailing address differs from the situs address (Absentee Owners).

Financial Distress: Identify properties with active Notices of Default, Pre-Foreclosure filings, Tax Defaults (3+ years delinquent), or Involuntary Liens (HOA, mechanics, tax liens).

Ownership Fatigue: Target "Tired Landlords" (non-owner occupied, owned for 10+ years) or "Inherited" properties that are ripe for acquisition.

Equity Position: Search by calculated Equity Percentage or Loan-to-Value (LTV) ratios to find owners with high equity (Free & Clear) or low equity depending on your strategy.

1. Detailed Building & Lot Characteristics Go beyond bed/bath counts. Our physical property data is sourced from tax assessors and refined for accuracy:

Structural Details: Search by Construction Type (Masonry, Frame, etc.), Foundation Type, Roof Cover/Type (Gable, Hip, Flat), and Exterior Wall material.

Systems & Features: Filter properties by Air Conditioning Source (Central, Evaporative), Heating Fuel (Gas, Solar), and amenities like Pools, Patios, and Fireplaces.

Lot Intelligence: Access granular Zoning Codes, Topography, Lot Depth/Frontage, and Site Influence data to evaluate development potential.

1. Valuation & Market Analytics Power your underwriting models with our automated valuation metrics:

AVM (Automated Valuation Model): Access estimated market values with accompanying Confidence Scores and Standard Deviation metrics to assess reliability.

Investment Metrics: Utilize estimated Rent Amounts, Flip Profit history, and length of ownership to calculate potential ROI instantly.

1. Advanced Owner Demographics Understand the human element behind the property. Our demographic append allows you to segment properties based on the owner’s profile:

Financial Profile: Filter by Household Income, Net Worth, Discretionary Income, and Creditworthiness indicators.

Household Composition: Search by Marital Status, Presence of Children, Household Size, and Senior Owner status.

Lifestyle Indicators: Access data on interests such as Pet Ownership, Charitable Donations, and Investment activity (Stocks/Bonds, Real Estate).

1. Mortgage & Transaction History Trace the financial history of every rooftop:

Loan Details: Search by Loan Type (Conventional, FHA, VA, Reverse Mortgage), Interest Rate type (Fixed vs. Adjustable), and Lender Name.

Transaction Velocity: Analyze sales history including Prior Sale Price, Document Types (Deed, Quit Claim), and Distressed Transfer flags.

Use Cases for PropTech & Real Estate

For Real Estate Investors & Wholesalers: Automate your lead generation by programming the API to fetch new properties daily that meet your specific "Buy Box" (e.g., "Vacant Single Family Homes, 3+ Beds, Built after 1980, with >40% Equity"). Feed these leads directly into your CRM or cold-calling dialer.

For Home Services & Solar: Stop marketing to renters. Use the API to identify Owner-Occupied Single-Family Residences with specific roof types (e.g., Asphalt Shingle) and high discretionary income. Overlay this with "Old Roof" indicators (based on Year Built and Permit History) to target homeowners ready for replacement or solar upgrades.

For Financial Services & Lenders: Improve your risk models by integrating our Lien and Judgment data. Identify borrowers with "Free and Clear" properties for HELOC offers or target recent "Cash Buy...

This dataset contains a comprehensive collection of real estate property listings across the USA, carefully prepared for data analysis, visualization, and machine learning tasks. It includes structured information about property features, geographic location, and pricing, making it highly suitable for house price prediction, real estate market analysis, and investment modeling.

The data has been cleaned, standardized, and optimized for machine learning workflows, allowing users to efficiently perform exploratory data analysis (EDA), feature engineering, model training, and evaluation.

Column Descriptions

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USD 2572.16 Billion in 2024; projected USD 3970.1 Billion by 2033; CAGR 4.88%.

Observe the North America Real Estate Market outlook through 2030. Industry research projects a valuation of USD 1,217.20 billion as housing demand intensifies.

U.S. Luxury Residential Real Estate Market was valued at USD 2 Billion in 2024 is anticipated to reach USD 2.74 Billion by 2032, growing at a CAGR of 4% from 2026 to 2032.

U.S. Luxury Residential Real Estate Market: Definition/ Overview

Luxury Residential Real Estate refers to high-end properties that provide exceptional comfort, exclusivity, and premium features to affluent individuals. These properties are typically located in prestigious areas, such as city centers, exclusive neighborhoods, or scenic destinations, and are distinguished by exceptional craftsmanship, high-quality materials, and cutting-edge amenities.

These Kaggle datasets offer a comprehensive analysis of the US real estate market, leveraging data sourced from Redfin via an unofficial API. It contains weekly snapshots stored in CSV files, reflecting the dynamic nature of property listings, prices, and market trends across various states and cities, except for Wyoming, Montana, and North Dakota, and with specific data generation for Texas cities. Notably, the dataset includes a prepared version, USA_clean_unique, which has undergone initial cleaning steps as outlined in the thesis. These datasets were part of my thesis; other two countries were France and UK.

These steps include: - Removal of irrelevant features for statistical analysis. - Renaming variables for consistency across international datasets. - Adjustment of variable value ranges for a more refined analysis.

Unique aspects such as Redfin’s “hot” label algorithm, property search status, and detailed categorizations of property types (e.g., single-family residences, condominiums/co-ops, multi-family homes, townhouses) provide deep insights into the market. Additionally, external factors like interest rates, stock market volatility, unemployment rates, and crime rates have been integrated to enrich the dataset and offer a multifaceted view of the real estate market's drivers.

The USA_clean_unique dataset represents a key step before data normalization/trimming, containing variables both in their raw form and categorized based on predefined criteria, such as property size, year of construction, and number of bathrooms/bedrooms. This structured approach aims to capture the non-linear relationships between various features and property prices, enhancing the dataset's utility for predictive modeling and market analysis.

See columns from USA_clean_unique.csv and my Thesis (Table 2.8) for exact column descriptions.

Table 2.4 and Section 2.2.3, which I refer to in the column descriptions, can be found in my thesis; see University Library. Click on Online Access->Hlavni prace.

If you want to continue generating datasets yourself, see my Github Repository for code inspiration.

Let me know if you want to see how I got from raw data to USA_clean_unique.csv. Multiple steps include cleaning in Tableau Prep and R, downloading and merging external variables to the dataset, removing duplicates, and renaming columns for consistency.

ATTOM’s Home Sales Trends dataset delivers reliable Real Estate Market Data by summarizing historical residential sales activity across the United States. Built from ATTOM’s proprietary database of verified deed transactions, it provides consistent House Price Data, Property Market Data, and Residential Real Estate Data across more than 2,700 counties.

What the Dataset Includes • Aggregated residential sales counts • Average sale prices • Median sale prices • Historical sales trends typically dating back to 2005 • Extended history to 2000 in select markets • Multi-level geographic aggregation from state to tract

How the Data Is Calculated • Derived from ATTOM’s verified property transaction database • Includes only arm’s-length residential transactions • Transaction types limited to: – Construction sales – Transfers and resales – Subdivision transfers • Residential property types only, including: – Single-family homes – Condo and townhome units • Sale price outliers removed to eliminate data errors

Why It Matters • Reflects true market-driven pricing and volume trends • Removes distressed and non-market transactions • Enables accurate comparison across markets and time periods • Supports consistent residential market analysis nationwide

Delivery & Cadence • Statistics typically delivered quarterly • Monthly or annual delivery available depending on use case

ATTOM’s Home Sales Trends dataset provides a clean, consistent, and historically rich foundation for analyzing residential market activity, price movement, and long-term housing trends across the U.S.

The square footage of shopping center real estate under construction as of the first quarter of 2025 varied across regions in the United States. The South region took the lead, with over half of all shopping center real estate under construction.

The US Office Real Estate Market Report is Segmented by Building Grade (Grade A, Grade B, and More), by Transaction Type (Rental and Sales), by End Use (Information Technology (IT & ITES), BFSI (Banking, Financial Services and Insurance), and More) and by States (Texas, California, Florida and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.

Greater Boston had the largest amount of real estate under construction among the top U.S. research and development and life science real estate markets. In the first half of 2023, approximately **** million square feet of R&D life science real estate was under construction. San Francisco Bay Area followed shortly, with *** million square feet under construction during the same period.

North America Luxury Residential Real Estate Market Report is Segmented by Property Type (Apartments & Condominiums, Villas & Landed Houses), by Business Model (Sales and Rental), by Mode of Sale (Primary (New-Build) and Secondary (Existing-Home Resale)), and by Geography (United States, Canada, Mexico). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.